Data Analytics for Project Management: Optimize Decisions, Mitigate Risks, Maximize Results and Master Visualization
배울 내용 ; Understand the role of data analytics in project management and its importance for driving project success. ; Gain proficiency in leveraging data throughout the project lifecycle, from ideation to implementation, to make informed decisions. ; Learn data collection, visualization, and analysis techniques to extract actionable insights and optimize project performance.
Learn how to collaborate on data projects with remote teams effectively using these tips on project scope, collaboration tools, data governance, communication, documentation, and learning.
Master Data Analytics in Project Management: Drive success with KPIs & dashboards using Excel
Learn how to choose, design, and present data visualizations for project management. Discover how to communicate complex information, track progress, identify risks, and make decisions.
In the current dynamic corporate landscape, proficient project management is increasingly essential. The importance of data and analytics in project management has grown as companies work to comple...
Learn step by step Data Science Project Management through CRISP-DM industry standard data mining methodology
Repository where to maintain Data Management Templates - osulp/Data-Management-Templates-Project
CUNY: Final project for Data management class . Contribute to lexscher/data-management-1_final_project development by creating an account on GitHub.
Zoom, LinkedIn, Adobe, Salesforce and more ; ClickUp ; Wrike ; Smartsheet